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Many studies collect functional data from multiple subjects that have both multilevel and multivariate structures. An example of such data comes from popular neuroscience experiments where participants' brain activity is recorded using…

统计方法学 · 统计学 2019-09-19 Jun Zhang , Greg J Siegle , Wendy D'Andrea , Robert T Krafty

We propose to adopt statistical regression as the projection operator to enable data-driven learning of the operators in the Mori--Zwanzig formalism. We present a principled method to extract the Markov and memory operators for any…

动力系统 · 数学 2023-04-24 Yen Ting Lin , Yifeng Tian , Danny Perez , Daniel Livescu

We address the discrepancy between the Rosenbluth and polarization transfer data for the electromagnetic form factors of the nucleon. Assuming that the effect of two-photon corrections on the polarization transfer data is negligible, we…

高能物理 - 唯象学 · 物理学 2008-11-26 M. A. Belushkin , H. -W. Hammer , U. -G. Meißner

Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth. Recently, a large number of studies have reported near-perfect…

Motivation: Although principal component analysis is frequently applied to reduce the dimensionality of matrix data, the method is sensitive to noise and bias and has difficulty with comparability and interpretation. These issues are…

统计方法学 · 统计学 2012-12-27 Tomokazu Konishi

This paper calculates the elastic form factors for nucleons based on generalized parton distributions using an extended new ansatz introduced in http://dx.doi.org/10.1103/PhysRevC.105.025202 (Phys. Rev. C 105, no.2, 025202 (2022)).…

高能物理 - 唯象学 · 物理学 2023-06-06 Hossein Vaziri , Mohammad Reza Shojaei

Estimating the causal effect of a treatment or health policy with observational data can be challenging due to an imbalance of and a lack of overlap between treated and control covariate distributions. In the presence of limited overlap,…

统计方法学 · 统计学 2025-03-24 Martha Barnard , Jared D. Huling , Julian Wolfson

Excess of probabilities of elastic processes over inelastic ones is a characteristic feature of the chaotic resonance scattering predicted by the random matrix theory (RMT). Quantitatively, this phenomenon is characterized by the elastic…

核理论 · 物理学 2015-07-06 Valentin V. Sokolov , Oleg V. Zhirov

It is known that the common factors in a large panel of data can be consistently estimated by the method of principal components, and principal components can be constructed by iterative least squares regressions. Replacing least squares…

统计方法学 · 统计学 2017-11-16 Jushan Bai , Serena Ng

We reanalyze electron-proton scattering data in the momentum transfer region $Q^2 < 1\ GeV^2$, which were used to determine proton electric radius, with main focus on the Mainz experiment (Bernauer et al., 2010). We examine dependence of…

高能物理 - 唯象学 · 物理学 2020-08-26 Dmitry Borisyuk , Alexander Kobushkin

We compute the two photon exchange contributions to elastic scattering of polarized electrons from target protons. We use a nonlocal field theory formalism for this calculation. The formalism maintains gauge invariance and provides a…

高能物理 - 唯象学 · 物理学 2008-12-18 Pankaj Jain , Satish D. Joglekar , Subhadip Mitra

Single crystal inelastic neutron scattering data contain rich information about the structure and dynamics of a material. Yet the challenge of matching sophisticated theoretical models with large data volumes is compounded by computational…

The Fraunhofer diffraction of quantum particles from materials with sharp electron-density edges or symmetric bond structures is ubiquitous. In contrast, diffraction from atoms with characteristic asymptotically-diffused electron…

We propose generalized additive partial linear models for complex data which allow one to capture nonlinear patterns of some covariates, in the presence of linear components. The proposed method improves estimation efficiency and increases…

统计理论 · 数学 2014-05-26 Li Wang , Lan Xue , Annie Qu , Hua Liang

Two widely-used computational paradigms for sublinear algorithms are using linear measurements to perform computations on a high dimensional input and using structured queries to access a massive input. Typically, algorithms in the former…

计算复杂性 · 计算机科学 2021-07-14 Amit Chakrabarti , Manuel Stoeckl

We present a framework for performing efficient regression in general metric spaces. Roughly speaking, our regressor predicts the value at a new point by computing a Lipschitz extension --- the smoothest function consistent with the…

机器学习 · 计算机科学 2017-04-25 Lee-Ad Gottlieb , Aryeh Kontorovich , Robert Krauthgamer

A simple and fast analysis method to sort large data sets into groups with shared distinguishing characteristics is described, and applied to single molecular break junction conductance versus electrode displacement data. The method, based…

介观与纳米尺度物理 · 物理学 2018-01-10 J. M. Hamill , X. T. Zhao , G. Mészáros , M. R. Bryce , M. Arenz

A discrepancy in the determination of the proton's charge radius, $r_p$, between muonic hydrogen spectroscopy versus classic atomic spectroscopy and electron scattering data has become known as the proton radius puzzle. Extractions of $r_p$…

核实验 · 物理学 2023-12-06 Tyler J. Hague , Douglas W. Higinbotham , Spencer Portuese

Model independent radiative correction to the recoil proton polarization for the elastic electron-proton scattering is calculated within method of electron structure functions. The explicit expressions for the recoil proton polarization are…

高能物理 - 唯象学 · 物理学 2009-10-31 A. V. Afanasev , I. Akushevich , N. P. Merenkov

Building classification models that predict a binary class label on the basis of high dimensional multi-omics datasets poses several challenges, due to the typically widely differing characteristics of the data layers in terms of number of…

统计方法学 · 统计学 2020-08-04 Alessandra Cabassi , Denis Seyres , Mattia Frontini , Paul D. W. Kirk